Embedded newform data - 2400.4.a.bi.1.2

Formats: - HTML - YAML - JSON - 2026-02-21T14:05:20.715495

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_largest	boolean
  is_maximal	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 38400, 'analytic_conductor': 141.60458401377747, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, 1], [5, -1]], 'atkin_lehner_string': '-+-', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [2400, 1, [1951, 901, 1601, 577], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 3, 'field_disc': 115636, 'field_disc_factorization': [[2, 2], [28909, 1]], 'field_poly': [-81, -69, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[7, [-1233, -589, -3, 1]], [11, [-24864, -656, 44, 1]]], 'hecke_orbit': 35, 'hecke_orbit_code': 153122387397708128, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 8, 'hecke_ring_index_factorization': [[2, 3]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '2400.4.a.bi', 'level': 2400, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'minimal_twist': '2400.4.a.bi', 'nf_label': '3.3.115636.1', 'prim_orbit_index': 1, 'qexp_display': 'q-3q^{3}+(1-\\beta _{2})q^{7}+9q^{9}+(-15+\\cdots)q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '3.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2400.4.a', 'trace_display': [0, -9, 0, 3], 'trace_hash': 1114575904987601820, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.091', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.922', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.967', 'prec': 17}, {'__RealLiteral__': 0, 'data': '22.698', 'prec': 20}, {'__RealLiteral__': 0, 'data': '10.789', 'prec': 20}, {'__RealLiteral__': 0, 'data': '256.392', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.002', 'prec': 17}, 'traces': [3, 0, -9, 0, 0, 0, 3, 0, 27, 0, -44, 0, -13, 0, 0, 0, 36, 0, -71, 0, -9, 0, -160, 0, 0, 0, -81, 0, -184, 0, 59, 0, 132, 0, 0, 0, 350, 0, 39, 0, 166, 0, -341, 0, 0, 0, 394, 0, 158, 0, -108, 0, 314, 0, 0, 0, 213, 0, -538, 0, -523, 0, 27, 0, 0, 0, 543, 0, 480, 0, -910, 0, 870, 0, 0, 0, -828, 0, 96, 0, 243, 0, -210, 0, 0, 0, 552, 0, -64, 0, -2781, 0, -177, 0, 0, 0, 943, 0, -396, 0, -2270, 0, -1496, 0, 0, 0, 1482, 0, 2299, 0, -1050, 0, 3388, 0, 0, 0, -117, 0, 52, 0, -745, 0, -498, 0, 0, 0, 1264, 0, 1023, 0, -2610, 0, 1513, 0, 0, 0, 2774, 0, -596, 0, -1182, 0, -60, 0, 0, 0, -474, 0, 4594, 0, 1381, 0, 324, 0, 0, 0, -1131, 0, -942, 0, -4080, 0, -1807, 0, 0, 0, -2018, 0, 2020, 0, -639, 0, 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• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
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-0.30549052073928684, -0.39777984267156624, -0.29555054412943604, -0.18895519215126802, -0.1252406160693098, -0.3054690938748263, -0.1882408784199916, -0.29877398651868636, -0.3474808098557577, -0.1370736591970585, -0.04164519201743046, -0.1814127712638095, -0.3653189938687529, -0.2656247501430921, -0.06166491680952431, -0.306622300562751, -0.39285498868938024, -0.2825092321727023, -0.1437077759549113, -0.28839760129852354, -0.17349795811024227, -0.14366402254928992, -0.31674724490855766, -0.28870327196054413, -0.2028797209708231, -0.3121289088120964, -0.27091005233792925, -0.32665970622452895, -0.3570403026696817, -0.04783942285808969, -0.41946605115036206, -0.11867408039093752, -0.3490010605994609, -0.22579343660248366, -0.43102247952754313, -0.1892545959248569, -0.384676246130709, -0.38543638610553665, -0.31031322595065314, -0.2359922824357052, -0.207983095074761, -0.20824626268253532, -0.35381873338506387, -0.20479419835074614, -0.25469141472344203, -0.2648877675703689, -0.24495030423253997, -0.1286212613794543, -0.2719268338077219, -0.32393993281158395, -0.3765003780632476, -0.2545060270920703, -0.3861157705109768, -0.2134982870762874, -0.24334066003226534, -0.04668873374664261, -0.15987252054497558, -0.4077754449378987, -0.1931127650477809, -0.1336457903439252, -0.1932876867835314, -0.17974762662813243, -0.10132758788309303, -0.3375953222642436, -0.23204707079769932, -0.17285963900759382, -0.24848997289842814, -0.30241440298115224, -0.2745843762841445, -0.3765863430528035, -0.21050275962009551, -0.12990592128455838, -0.09090315004515266, -0.2709574421750729, -0.1952167670406183, -0.1946008433894662, -0.27194886969177573, -0.2787555602533615, -0.3665675694169347, -0.24658693096901688, -0.35601333595380313, -0.3431640868266518, -0.31943481164708004, -0.23017687355026326, -0.23545217037047123, -0.27355299069283945, -0.22767796976175142, -0.3611940583082196, -0.296693934295133, -0.3441972146063949, -0.21634646581724135, -0.25471547514148607, -0.31273544540266063, -0.25065052898965223, -0.19510503754869987, -0.2383441093481112, -0.18695748220703481, -0.18965513034641396, -0.26451006828829793, -0.3338693244773892, -0.39670685568218067, -0.21753561958753498, -0.14432921187108014, -0.07255123841813092, -0.24130585485128114, -0.11396965848096813, -0.12921946837319373, -0.14403587394963474, -0.20781899075653218, -0.09056111156894765, -0.3977793074317067, -0.18448205357864605, -0.3312330395541215, -0.2485789647280547, -0.20033680711228832, -0.3916583728370406, -0.2894585495541164, -0.0649027006970481, -0.3891944290211141, -0.13772873590507603, -0.3735485819533349, -0.19428504652259868, -0.2759801069996535, -0.2193190891373893, -0.19519376196100036, -0.29551305250239707, -0.23061690880591892, -0.16062378092256718, -0.20976740157155926, -0.2063923718836773, -0.2731996684153683, -0.16639598957832655, -0.1148041598028073, -0.26900336317173984, -0.12959451508742995, -0.4098574070737976, -0.32526525312056825, -0.17572358645765065, -0.23176918855131987, -0.0895471160266084, -0.3816266883968746, -0.19650771079436025, -0.23654910743996577, -0.40978998795920174, -0.25386736307273994, -0.364175475902002, -0.3967915911194016, -0.1648458927410414, -0.25343942590103247, -0.18185621336060886, -0.321900425353407, -0.17064337240169614, -0.09160711811679756, -0.1365232595136784, -0.41056737326532206, -0.1455166136076219, -0.17560719943226447, -0.29313113909965444], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': 9.327997280219208, 'hecke_orbit': 35, 'hecke_orbit_code': 153122387397708128, 'label': '2400.4.a.bi.1.2', 'level': 2400, 'weight': 4}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'ALdims': [14, 14, 13, 16, 13, 16, 14, 14], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [12, 12, 12, 12, 12, 12, 12, 12], 'ALdims_old': [166, 156, 161, 156, 155, 162, 160, 162], 'Nk2': 38400, 'analytic_conductor': 141.60458401377747, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [2400, 1, [1951, 901, 1601, 577], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1392, 'dim': 114, 'eis_dim': 96, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11], 'hecke_orbit_code': 67111264, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4], 'label': '2400.4.a', 'level': 2400, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'mf_dim': 1488, 'mf_new_dim': 114, 'num_forms': 54, 'plus_dim': 60, 'prim_orbit_index': 1, 'relative_dim': 114, 'sturm_bound': 1920, 'trace_bound': 13, 'trace_display': [0, 0, 0, 0], 'traces': [114, 0, 0, 0, 0, 0, 0, 0, 1026, 0, 0, 0, -20, 0, 0, 0, -156, 0, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, -284, 0, 0, 0, -24, 0, 0, 0, -372, 0, 0, 0, 1300, 0, 0, 0, 0, 0, 0, 0, 5746, 0, 0, 0, -1356, 0, 0, 0, 168, 0, 0, 0, -1636, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1644, 0, 0, 0, -3136, 0, 0, 0, 9234, 0, 0, 0, 0, 0, 0, 0, -2940, 0, 0, 0, -936, 0, 0, 0, -1276, 0, 0, 0, -4348, 0, 0, 0, 0, 0, 0, 0, -3396, 0, 0, 0, 788, 0, 0, 0, -180, 0, 0, 0, 11914, 0, 0, 0, 0, 0, 0, 0, -72, 0, 0, 0, -2560, 0, 0, 0, 9364, 0, 0, 0, -1680, 0, 0, 0, 0, 0, 0, 0, 500, 0, 0, 0, -1404, 0, 0, 0, 3548, 0, 0, 0, -10752, 0, 0, 0, 0, 0, 0, 0, 8942, 0, 0, 0, 9908, 0, 0, 0, 1272, 0, 0, 0, 11820, 0, 0, 0, 0, 0, 0, 0, -1080, 0, 0, 0, 1220, 0, 0, 0, 25364, 0, 0, 0, -648, 0, 0, 0, 0, 0, 0, 0, 9632, 0, 0, 0, -6720, 0, 0, 0, 10304, 0, 0, 0, 28616, 0, 0, 0, 0, 0, 0, 0, -12996, 0, 0, 0, 9220, 0, 0, 0, -8520, 0, 0, 0, 6212, 0, 0, 0, 0, 0, 0, 0, -4008, 0, 0, 0, -1248, 0, 0, 0, -3180, 0, 0, 0, -2556, 0, 0, 0, 0, 0, 0, 0, 48692, 0, 0, 0, 2160, 0, 0, 0, 24092, 0, 0, 0, 15076, 0, 0, 0, 0, 0, 0, 0, 49670, 0, 0, 0, -7948, 0, 0, 0, -216, 0, 0, 0, 56752, 0, 0, 0, 0, 0, 0, 0, 19176, 0, 0, 0, -8684, 0, 0, 0, -1404, 0, 0, 0, 9336, 0, 0, 0, 0, 0, 0, 0, -21152, 0, 0, 0, -3348, 0, 0, 0, -31868, 0, 0, 0, 3104, 0, 0, 0, 0, 0, 0, 0, 30284, 0, 0, 0, 2516, 0, 0, 0, 9744, 0, 0, 0, 28714, 0, 0, 0, 0, 0, 0, 0, 11700, 0, 0, 0, -37236, 0, 0, 0, 43576, 0, 0, 0, 408, 0, 0, 0, 0, 0, 0, 0, 7572, 0, 0, 0, -1560, 0, 0, 0, -49028, 0, 0, 0, 85620, 0, 0, 0, 0, 0, 0, 0, 17988, 0, 0, 0, -24704, 0, 0, 0, -14424, 0, 0, 0, 812, 0, 0, 0, 0, 0, 0, 0, 35184, 0, 0, 0, -3996, 0, 0, 0, 61440, 0, 0, 0, 51714, 0, 0, 0, 0, 0, 0, 0, 106004, 0, 0, 0, -5400, 0, 0, 0, 80628, 0, 0, 0, 5220, 0, 0, 0, 0, 0, 0, 0, -94928, 0, 0, 0, -21856, 0, 0, 0, -12204, 0, 0, 0, -34760, 0, 0, 0, 0, 0, 0, 0, -47736, 0, 0, 0, 87912, 0, 0, 0, -74432, 0, 0, 0, 15216, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 1512, 0, 0, 0, 131104, 0, 0, 0, 54628, 0, 0, 0, 0, 0, 0, 0, 134434, 0, 0, 0, -65640, 0, 0, 0, 66120, 0, 0, 0, 65500, 0, 0, 0, 0, 0, 0, 0, -14724, 0, 0, 0, -80768, 0, 0, 0, -147628, 0, 0, 0, -31152, 0, 0, 0, 0, 0, 0, 0, -155964, 0, 0, 0, 48192, 0, 0, 0, -89340, 0, 0, 0, -11008, 0, 0, 0, 0, 0, 0, 0, 82704, 0, 0, 0, 24084, 0, 0, 0, 49368, 0, 0, 0, -15276, 0, 0, 0, 0, 0, 0, 0, -29616, 0, 0, 0, -33268, 0, 0, 0, 101732, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27976, 0, 0, 0, -14664, 0, 0, 0, -134388, 0, 0, 0, 4004, 0, 0, 0, 0, 0, 0, 0, -196928, 0, 0, 0, 71604, 0, 0, 0, -14796, 0, 0, 0, 2812, 0, 0, 0, 0, 0, 0, 0, 57096, 0, 0, 0, 137860, 0, 0, 0, 79332, 0, 0, 0, -18888, 0, 0, 0, 0, 0, 0, 0, 80520, 0, 0, 0, -28224, 0, 0, 0, 204424, 0, 0, 0, 63236, 0, 0, 0, 0, 0, 0, 0, -133508, 0, 0, 0, -39808, 0, 0, 0, -53184, 0, 0, 0, -54656, 0, 0, 0, 0, 0, 0, 0, 83106, 0, 0, 0, 129196, 0, 0, 0, -182368, 0, 0, 0, -118080, 0, 0, 0, 0, 0, 0, 0, 176704, 0, 0, 0, 46824, 0, 0, 0, 159932, 0, 0, 0, -222556, 0, 0, 0, 0, 0, 0, 0, 132100, 0, 0, 0, 43284, 0, 0, 0, 61872, 0, 0, 0, -97408, 0, 0, 0, 0, 0, 0, 0, -83280, 0, 0, 0, -113304, 0, 0, 0, -130252, 0, 0, 0, -26460, 0, 0, 0, 0, 0, 0, 0, -193420, 0, 0, 0, 13992, 0, 0, 0, -195168, 0, 0, 0, 90772, 0, 0, 0, 0, 0, 0, 0, 184172, 0, 0, 0, -32060, 0, 0, 0, -8424, 0, 0, 0, 16110, 0, 0, 0, 0, 0, 0, 0, 11784, 0, 0, 0, -173300, 0, 0, 0, 124660, 0, 0, 0, -73968, 0, 0, 0, 0, 0, 0, 0, -222624, 0, 0, 0, -11484, 0, 0, 0, -223268, 0, 0, 0, -40844, 0, 0, 0, 0, 0, 0, 0, -52288, 0, 0, 0, -49408, 0, 0, 0, -64416, 0, 0, 0, -201928, 0, 0, 0, 0, 0, 0, 0, -39132, 0, 0, 0, 99552, 0, 0, 0, 343872, 0, 0, 0, 87096, 0, 0, 0, 0, 0, 0, 0, 12276, 0, 0, 0, 35280, 0, 0, 0, 68468, 0, 0, 0, 100964, 0, 0, 0, 0, 0, 0, 0, -337688, 0, 0, 0, -24876, 0, 0, 0, -112368, 0, 0, 0, 172290, 0, 0, 0, 0, 0, 0, 0, -65808, 0, 0, 0, 17536, 0, 0, 0, -303100, 0, 0, 0, -30564, 0, 0, 0, 0, 0, 0, 0, 310016, 0, 0, 0, 41928, 0, 0, 0, 69324, 0, 0, 0], 'weight': 4, 'weight_parity': 1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 48843506
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 153122387397708128, 'source_is_minimal': True, 'source_label': '2400.4.a.bi.1.2', 'source_level': 2400, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 153122387397708128, 'target_is_minimal': True, 'target_label': '2400.4.a.bi.1.2', 'target_level': 2400, 'twist_class_label': '2400.4.a.bi.1.2', 'twist_class_level': 2400, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 48843507
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 153122387397708128, 'source_is_minimal': True, 'source_label': '2400.4.a.bi.1.2', 'source_level': 2400, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 202661983298783584, 'target_is_minimal': True, 'target_label': '2400.4.a.bt.1.2', 'target_level': 2400, 'twist_class_label': '2400.4.a.bi.1.2', 'twist_class_level': 2400, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 48843508
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 153122387397708128, 'source_is_minimal': True, 'source_label': '2400.4.a.bi.1.2', 'source_level': 2400, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 198158383671413088, 'target_is_minimal': True, 'target_label': '2400.4.a.bs.1.2', 'target_level': 2400, 'twist_class_label': '2400.4.a.bi.1.2', 'twist_class_level': 2400, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 4}
  • id: 48843509
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 2, 'source_hecke_orbit_code': 153122387397708128, 'source_is_minimal': True, 'source_label': '2400.4.a.bi.1.2', 'source_level': 2400, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 157625987025078624, 'target_is_minimal': True, 'target_label': '2400.4.a.bj.1.2', 'target_level': 2400, 'twist_class_label': '2400.4.a.bi.1.2', 'twist_class_level': 2400, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2633550
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 153122387397708128, 'p': 2}
  • id: 2633551
    {'charpoly_factorization': [[[3, 1], 3]], 'hecke_orbit_code': 153122387397708128, 'p': 3}
  • id: 2633552
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 153122387397708128, 'p': 5}
  • id: 2633553
    {'charpoly_factorization': [[[-1233, -589, -3, 1], 1]], 'hecke_orbit_code': 153122387397708128, 'p': 7}
  • id: 2633554
    {'charpoly_factorization': [[[-24864, -656, 44, 1], 1]], 'hecke_orbit_code': 153122387397708128, 'p': 11}
  • id: 2633555
    {'charpoly_factorization': [[[-119313, -4221, 13, 1], 1]], 'hecke_orbit_code': 153122387397708128, 'p': 13}
  • id: 2633556
    {'charpoly_factorization': [[[-218016, -8944, -36, 1], 1]], 'hecke_orbit_code': 153122387397708128, 'p': 17}
  • id: 2633557
    {'charpoly_factorization': [[[-2891, -421, 71, 1], 1]], 'hecke_orbit_code': 153122387397708128, 'p': 19}
  • id: 2633558
    {'charpoly_factorization': [[[-2700000, -24000, 160, 1], 1]], 'hecke_orbit_code': 153122387397708128, 'p': 23}
  • id: 2633559
    {'charpoly_factorization': [[[-1985440, -31456, 184, 1], 1]], 'hecke_orbit_code': 153122387397708128, 'p': 29}
  • id: 2633560
    {'charpoly_factorization': [[[-5724361, -70621, -59, 1], 1]], 'hecke_orbit_code': 153122387397708128, 'p': 31}
  • id: 2633561
    {'charpoly_factorization': [[[223640, -20116, -350, 1], 1]], 'hecke_orbit_code': 153122387397708128, 'p': 37}
  • id: 2633562
    {'charpoly_factorization': [[[-1460648, -43348, -166, 1], 1]], 'hecke_orbit_code': 153122387397708128, 'p': 41}
  • id: 2633563
    {'charpoly_factorization': [[[-43261577, -152173, 341, 1], 1]], 'hecke_orbit_code': 153122387397708128, 'p': 43}
  • id: 2633564
    {'charpoly_factorization': [[[44505544, -129076, -394, 1], 1]], 'hecke_orbit_code': 153122387397708128, 'p': 47}
  • id: 2633565
    {'charpoly_factorization': [[[7884200, -24820, -314, 1], 1]], 'hecke_orbit_code': 153122387397708128, 'p': 53}
  • id: 2633566
    {'charpoly_factorization': [[[-161430408, -340596, 538, 1], 1]], 'hecke_orbit_code': 153122387397708128, 'p': 59}
  • id: 2633567
    {'charpoly_factorization': [[[-6303415, -120109, 523, 1], 1]], 'hecke_orbit_code': 153122387397708128, 'p': 61}
  • id: 2633568
    {'charpoly_factorization': [[[72402579, -138645, -543, 1], 1]], 'hecke_orbit_code': 153122387397708128, 'p': 67}
  • id: 2633569
    {'charpoly_factorization': [[[-28003320, 149004, 910, 1], 1]], 'hecke_orbit_code': 153122387397708128, 'p': 71}
  • id: 2633570
    {'charpoly_factorization': [[[462224120, -584244, -870, 1], 1]], 'hecke_orbit_code': 153122387397708128, 'p': 73}
  • id: 2633571
    {'charpoly_factorization': [[[4064256, -36736, -96, 1], 1]], 'hecke_orbit_code': 153122387397708128, 'p': 79}
  • id: 2633572
    {'charpoly_factorization': [[[-8776232, -70548, 210, 1], 1]], 'hecke_orbit_code': 153122387397708128, 'p': 83}
  • id: 2633573
    {'charpoly_factorization': [[[-20736000, -483840, 64, 1], 1]], 'hecke_orbit_code': 153122387397708128, 'p': 89}
  • id: 2633574
    {'charpoly_factorization': [[[-15001373, -278389, -943, 1], 1]], 'hecke_orbit_code': 153122387397708128, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 1, 'hecke_orbit': 35, 'label': '2400.4.a.bi', 'level': 2400, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 69680617
    {'hecke_orbit_code': 153122387397708128, 'n': 1, 'trace_an': 3}
  • id: 69680618
    {'hecke_orbit_code': 153122387397708128, 'n': 2, 'trace_an': 0}
  • id: 69680619
    {'hecke_orbit_code': 153122387397708128, 'n': 3, 'trace_an': -9}
  • id: 69680620
    {'hecke_orbit_code': 153122387397708128, 'n': 4, 'trace_an': 0}
  • id: 69680621
    {'hecke_orbit_code': 153122387397708128, 'n': 5, 'trace_an': 0}
  • id: 69680622
    {'hecke_orbit_code': 153122387397708128, 'n': 6, 'trace_an': 0}
  • id: 69680623
    {'hecke_orbit_code': 153122387397708128, 'n': 7, 'trace_an': 3}
  • id: 69680624
    {'hecke_orbit_code': 153122387397708128, 'n': 8, 'trace_an': 0}
  • id: 69680625
    {'hecke_orbit_code': 153122387397708128, 'n': 9, 'trace_an': 27}
  • id: 69680626
    {'hecke_orbit_code': 153122387397708128, 'n': 10, 'trace_an': 0}
  • id: 69680627
    {'hecke_orbit_code': 153122387397708128, 'n': 11, 'trace_an': -44}
  • id: 69680628
    {'hecke_orbit_code': 153122387397708128, 'n': 12, 'trace_an': 0}
  • id: 69680629
    {'hecke_orbit_code': 153122387397708128, 'n': 13, 'trace_an': -13}
  • id: 69680630
    {'hecke_orbit_code': 153122387397708128, 'n': 14, 'trace_an': 0}
  • id: 69680631
    {'hecke_orbit_code': 153122387397708128, 'n': 15, 'trace_an': 0}
  • id: 69680632
    {'hecke_orbit_code': 153122387397708128, 'n': 16, 'trace_an': 0}
  • id: 69680633
    {'hecke_orbit_code': 153122387397708128, 'n': 17, 'trace_an': 36}
  • id: 69680634
    {'hecke_orbit_code': 153122387397708128, 'n': 18, 'trace_an': 0}
  • id: 69680635
    {'hecke_orbit_code': 153122387397708128, 'n': 19, 'trace_an': -71}
  • id: 69680636
    {'hecke_orbit_code': 153122387397708128, 'n': 20, 'trace_an': 0}
  • id: 69680637
    {'hecke_orbit_code': 153122387397708128, 'n': 21, 'trace_an': -9}
  • id: 69680638
    {'hecke_orbit_code': 153122387397708128, 'n': 22, 'trace_an': 0}
  • id: 69680639
    {'hecke_orbit_code': 153122387397708128, 'n': 23, 'trace_an': -160}
  • id: 69680640
    {'hecke_orbit_code': 153122387397708128, 'n': 24, 'trace_an': 0}
  • id: 69680641
    {'hecke_orbit_code': 153122387397708128, 'n': 25, 'trace_an': 0}
  • id: 69680642
    {'hecke_orbit_code': 153122387397708128, 'n': 26, 'trace_an': 0}
  • id: 69680643
    {'hecke_orbit_code': 153122387397708128, 'n': 27, 'trace_an': -81}
  • id: 69680644
    {'hecke_orbit_code': 153122387397708128, 'n': 28, 'trace_an': 0}
  • id: 69680645
    {'hecke_orbit_code': 153122387397708128, 'n': 29, 'trace_an': -184}
  • id: 69680646
    {'hecke_orbit_code': 153122387397708128, 'n': 30, 'trace_an': 0}
  • id: 69680647
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  • id: 69680663
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  • id: 69680669
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  • id: 69680713
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  • id: 69680715
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  • id: 69680717
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  • id: 69680718
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  • id: 69680719
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  • id: 69680720
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  • id: 69680721
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  • id: 69680722
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  • id: 69680725
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  • id: 69680726
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  • id: 69680727
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  • id: 69680728
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  • id: 69680729
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  • id: 69680730
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  • id: 69680731
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  • id: 69680732
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  • id: 69680733
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  • id: 69680734
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  • id: 69680736
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  • id: 69680737
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  • id: 69680738
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  • id: 69680739
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  • id: 69680740
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  • id: 69680741
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  • id: 69680742
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  • id: 69680743
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  • id: 69680744
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  • id: 69680745
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  • id: 69680746
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  • id: 69680747
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  • id: 69680748
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  • id: 69680749
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  • id: 69680750
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  • id: 69680751
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  • id: 69680752
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  • id: 69680753
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  • id: 69680754
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  • id: 69680755
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  • id: 69680756
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  • id: 69680757
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  • id: 69680759
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  • id: 69680760
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  • id: 69680761
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  • id: 69680762
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  • id: 69680763
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  • id: 69680764
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  • id: 69680765
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  • id: 69680766
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  • id: 69680767
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  • id: 69680768
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  • id: 69680769
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  • id: 69680770
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  • id: 69680771
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  • id: 69680772
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  • id: 69680773
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  • id: 69680774
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  • id: 69680775
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  • id: 69680776
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  • id: 69680777
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  • id: 69680778
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  • id: 69680779
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  • id: 69680780
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  • id: 69680781
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  • id: 69680782
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  • id: 69680783
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  • id: 69680784
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  • id: 69680785
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  • id: 69680786
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  • id: 69680787
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  • id: 69680788
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  • id: 69680789
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  • id: 69680790
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  • id: 69680791
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  • id: 69680792
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  • id: 69680793
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  • id: 69680794
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  • id: 69680795
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  • id: 69680796
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  • id: 69680797
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  • id: 69680799
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  • id: 69680801
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  • id: 69680804
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  • id: 69680806
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  • id: 69680808
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  • id: 69680814
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  • id: 69680821
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  • id: 69680831
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  • id: 69680832
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  • id: 69680833
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  • id: 69680835
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  • id: 69680839
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  • id: 69680840
    {'hecke_orbit_code': 153122387397708128, 'n': 769, 'trace_an': 9605}
  • id: 69680841
    {'hecke_orbit_code': 153122387397708128, 'n': 773, 'trace_an': -11182}
  • id: 69680842
    {'hecke_orbit_code': 153122387397708128, 'n': 787, 'trace_an': 46381}
  • id: 69680843
    {'hecke_orbit_code': 153122387397708128, 'n': 797, 'trace_an': 29304}
  • id: 69680844
    {'hecke_orbit_code': 153122387397708128, 'n': 809, 'trace_an': -20430}
  • id: 69680845
    {'hecke_orbit_code': 153122387397708128, 'n': 811, 'trace_an': 14997}
  • id: 69680846
    {'hecke_orbit_code': 153122387397708128, 'n': 821, 'trace_an': 16386}
  • id: 69680847
    {'hecke_orbit_code': 153122387397708128, 'n': 823, 'trace_an': -42245}
  • id: 69680848
    {'hecke_orbit_code': 153122387397708128, 'n': 827, 'trace_an': 10874}
  • id: 69680849
    {'hecke_orbit_code': 153122387397708128, 'n': 829, 'trace_an': -25166}
  • id: 69680850
    {'hecke_orbit_code': 153122387397708128, 'n': 839, 'trace_an': -71780}
  • id: 69680851
    {'hecke_orbit_code': 153122387397708128, 'n': 841, 'trace_an': 23601}
  • id: 69680852
    {'hecke_orbit_code': 153122387397708128, 'n': 853, 'trace_an': -69127}
  • id: 69680853
    {'hecke_orbit_code': 153122387397708128, 'n': 857, 'trace_an': -50808}
  • id: 69680854
    {'hecke_orbit_code': 153122387397708128, 'n': 859, 'trace_an': 90500}
  • id: 69680855
    {'hecke_orbit_code': 153122387397708128, 'n': 863, 'trace_an': 28492}
  • id: 69680856
    {'hecke_orbit_code': 153122387397708128, 'n': 877, 'trace_an': 3089}
  • id: 69680857
    {'hecke_orbit_code': 153122387397708128, 'n': 881, 'trace_an': 78148}
  • id: 69680858
    {'hecke_orbit_code': 153122387397708128, 'n': 883, 'trace_an': -48689}
  • id: 69680859
    {'hecke_orbit_code': 153122387397708128, 'n': 887, 'trace_an': -33210}
  • id: 69680860
    {'hecke_orbit_code': 153122387397708128, 'n': 907, 'trace_an': 79820}
  • id: 69680861
    {'hecke_orbit_code': 153122387397708128, 'n': 911, 'trace_an': 64582}
  • id: 69680862
    {'hecke_orbit_code': 153122387397708128, 'n': 919, 'trace_an': 102349}
  • id: 69680863
    {'hecke_orbit_code': 153122387397708128, 'n': 929, 'trace_an': -32284}
  • id: 69680864
    {'hecke_orbit_code': 153122387397708128, 'n': 937, 'trace_an': -30295}
  • id: 69680865
    {'hecke_orbit_code': 153122387397708128, 'n': 941, 'trace_an': -11430}
  • id: 69680866
    {'hecke_orbit_code': 153122387397708128, 'n': 947, 'trace_an': 9744}
  • id: 69680867
    {'hecke_orbit_code': 153122387397708128, 'n': 953, 'trace_an': -121720}
  • id: 69680868
    {'hecke_orbit_code': 153122387397708128, 'n': 961, 'trace_an': 55350}
  • id: 69680869
    {'hecke_orbit_code': 153122387397708128, 'n': 967, 'trace_an': -23888}
  • id: 69680870
    {'hecke_orbit_code': 153122387397708128, 'n': 971, 'trace_an': -31186}
  • id: 69680871
    {'hecke_orbit_code': 153122387397708128, 'n': 977, 'trace_an': 9514}
  • id: 69680872
    {'hecke_orbit_code': 153122387397708128, 'n': 983, 'trace_an': 99332}
  • id: 69680873
    {'hecke_orbit_code': 153122387397708128, 'n': 991, 'trace_an': 102859}
  • id: 69680874
    {'hecke_orbit_code': 153122387397708128, 'n': 997, 'trace_an': -63666}